Papers with Code 아카이브

2D Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Raj-08/tensorflow-object-contour-detection

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

https://github.com/RajArPatra/Super-OCR

Mask R-CNN

https://github.com/RajkumarPreetham/Road-scene-understanding

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/Rakeshvd/Instance-Segmenation-of-MRI-scan-using-Mask-RCNN

Mask R-CNN

https://github.com/Rakeshvd/Semantic-Segmenation-of-MRI-scan-using-Mask-RCNN

Mask R-CNN

https://github.com/Rakshit-Shetty/Resnet-Implementation

Deep Residual Learning for Image Recognition

https://github.com/RamposhPidrov/waifu2face

Searching for MobileNetV3

https://github.com/Randl/MobileNetV3-pytorch

Searching for MobileNetV3

https://github.com/RangiLyu/mmdetection_test

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/RangiLyu/nanodet

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

https://github.com/Ranja-S/sensitivity

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

https://github.com/RashadGarayev/OpencvDnnmodule

SSD: Single Shot MultiBox Detector

https://github.com/RayXie29/SENet_Keras

Squeeze-and-Excitation Networks

https://github.com/Raychou0830/Carplate

YOLOv3: An Incremental Improvement

https://github.com/RealHulubulu/openCVObjectDetectionRPi

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection

On Complex Valued Convolutional Neural Networks

https://github.com/Recognito-Vision/Face-SDK-Linux-Demos

Continual Forgetting for Pre-trained Vision Models

https://github.com/RedWang1989/YOLOv4

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/Reemr/Cancer-detection

Detecting Cancer Metastases on Gigapixel Pathology Images

https://github.com/RentadroneCL/Photovoltaic_Fault_Detector

SSD: Single Shot MultiBox Detector

https://github.com/RentadroneCL/model-definition

SSD: Single Shot MultiBox Detector

https://github.com/Res2Net/Res2Net-PoolNet

Res2Net: A New Multi-scale Backbone Architecture

https://github.com/Res2Net/Res2Net-Pose-Estimation

Res2Net: A New Multi-scale Backbone Architecture

https://github.com/Res2Net/Res2Net-PretrainedModels

Res2Net: A New Multi-scale Backbone Architecture

https://github.com/Res2Net/Res2Net-maskrcnn

Res2Net: A New Multi-scale Backbone Architecture

https://github.com/Res2Net/mmdetection

Res2Net: A New Multi-scale Backbone Architecture

https://github.com/Resham-Sundar/sahi-yolox

Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

https://github.com/Richard-cpu2333/tx2dl

SSD: Single Shot MultiBox Detector

https://github.com/RichardMathewsII/YOLBO

Focal Loss for Dense Object Detection

https://github.com/RichardMinsooGo-ML/Pytorch-Complex-Yolo-Yolov3

Complex-YOLO: Real-time 3D Object Detection on Point Clouds

https://github.com/RichardMinsooGo-ML/Pytorch-Complex-Yolo-Yolov4

Complex-YOLO: Real-time 3D Object Detection on Point Clouds

https://github.com/RichardMinsooGo-ML/Pytorch-Yolo-3d-Yolov3

Complex-YOLO: Real-time 3D Object Detection on Point Clouds

https://github.com/RichardMinsooGo-ML/Pytorch-Yolo-3d-Yolov4

Complex-YOLO: Real-time 3D Object Detection on Point Clouds

https://github.com/Rintarooo/PSPNet

Pyramid Scene Parsing Network

https://github.com/RiplleYang/DenseFusion

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

https://github.com/RishiTejaMadduri/VoxelNet_PyTorch

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.